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Interannual Variability in Transpolar Drift Ice Thickness and Potential Impact of Atlantification

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Interannual Variability in Transpolar Drift Ice Thickness and Potential Impact of Atlantification https://doi.org/10.5194/tc-2020-305 Preprint. Discussion started: 22 October 2020 c Author(s) 2020. CC BY 4.0 License. Interannual variability in Transpolar Drift ice thickness and potential impact of Atlantification H. Jakob Belter1, Thomas Krumpen1, Luisa von Albedyll1, Tatiana A. Alekseeva2, Sergei V. Frolov2, Stefan Hendricks1, Andreas Herber1, Igor Polyakov3,4,5, Ian Raphael6, Robert Ricker1, Sergei S. Serovetnikov2, Melinda Webster7, and Christian Haas1 1Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany 2Arctic and Antarctic Research Institute, St. Petersburg, Russian Federation 3International Arctic Research Center, University of Alaska Fairbanks, Fairbanks, US 4College of Natural Science and Mathematics, University of Alaska Fairbanks, Fairbanks, US 5Finnish Meteorological Institute, Helsinki, Finland 6Thayer School of Engineering at Dartmouth College, Hanover, US 7Geophysical Institute, University of Alaska Fairbanks, Fairbanks, US Correspondence: H. Jakob Belter ([email protected]) Abstract. Changes in Arctic sea ice thickness are the result of complex interactions of the dynamic and variable ice cover with atmosphere and ocean. Most of the sea ice exits the Arctic Ocean through Fram Strait, which is why long-term measurements of ice thickness at the end of the Transpolar Drift provide insight into the integrated signals of thermodynamic and dynamic influences along the pathways of Arctic sea ice. We present an updated time series of extensive ice thickness surveys carried 5 out at the end of the Transpolar Drift between 2001 and 2020. Overall, we see a more than 20% thinning of modal ice thickness since 2001. A comparison with first preliminary results from the international Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) shows that the modal summer thickness of the MOSAiC floe and its wider vicinity are consistent with measurements from previous years. By combining this unique time series with the Lagrangian sea ice tracking tool, ICETrack, and a simple thermodynamic sea ice growth model, we link the observed interannual ice thickness variability 10 north of Fram Strait to increased drift speeds along the Transpolar Drift and the consequential variations in sea ice age and number of freezing degree days. We also show that the increased influence of upward-directed ocean heat flux in the eastern marginal ice zones, termed Atlantification, is not only responsible for sea ice thinning in and around the Laptev Sea, but also that the induced thickness anomalies persist beyond the Russian shelves and are potentially still measurable at the end of the Transpolar Drift after more than a year. With a tendency towards an even faster Transpolar Drift, winter sea ice growth will 15 have less time to compensate the impact of Atlantification on sea ice growth in the eastern marginal ice zone, which will increasingly be felt in other parts of the sea ice covered Arctic. 1 https://doi.org/10.5194/tc-2020-305 Preprint. Discussion started: 22 October 2020 c Author(s) 2020. CC BY 4.0 License. 1 Introduction The Arctic sea ice cover is undergoing rapid changes. Besides the continuous decline in annual mean sea ice extent by almost 20 14% per decade from 1979 to 2010 (Cavalieri and Parkinson, 2012; Stroeve et al., 2012), sea ice volume has decreased as well. Based on a combination of submarine sea ice draft and satellite sea ice thickness (SIT) measurements from ICESat and CryoSat-2 from 1958 to 2018, Kwok (2018) found that central Arctic summer mean SIT decreased by about 60% over six decades. This thinning was accompanied by a reduction in second-year and multi-year ice (SYI and MYI) fraction of more than 50%, which resulted in substantial sea ice volume loss (Kwok, 2018). 25 The importance of continuous measurements of Arctic SIT change is demonstrated by the implications these changes have on the Arctic summer sea ice energy and mass balance. Changing optical properties and thinning of sea ice allow increased penetration of solar energy into the ocean (Nicolaus et al., 2012; Katlein et al., 2019), with implications for ocean heat deposi- tion (Perovich et al., 2007; Pinker et al., 2014) and primary productivity (Assmy et al., 2017). Intensified melt and thinning of Arctic sea ice also impact the pathways of sea ice from the major source regions on the Russian shelves. Due to the thinner ice 30 cover sea ice drift is increased and sea ice is transported faster along the Transpolar Drift system (Spreen et al., 2011; Krumpen et al., 2019). However, the intensified summer melt and the initially thinner ice cover in the Siberian Arctic also lead to more frequent interruptions of the long-range transports of ice and ice-rafted matter from the shallow Russian shelves to the central Arctic Ocean (Krumpen et al., 2019). In order to predict the future development of these mechanisms reliable measurements of sea ice parameters, like SIT, are vital. 35 Satellite-based radar altimeters provide the means to investigate Arctic-wide SIT changes, but due to the influence of warm snow and ice and the formation of melt ponds during the melt season, these data sets are only available from October through April (Ricker et al., 2017; Hendricks and Ricker, 2019). However, in light of recent model predictions of a nearly ice-free Arctic in summer (Johannessen et al., 2004; Holland et al., 2006; Wang and Overland, 2009; Overland and Wang, 2013; Overland et al., 2019), long-term and large-scale melt season SIT observations are more important than ever. Melt season SIT 40 measurements from upward-looking sonars (Hansen et al., 2013; WHOI, 2014; NPI, 2018; Belter et al., 2020), ground-based and airborne electromagnetic induction (EM) measurements (Haas, 2004; Haas et al., 2008, 2010), airborne remote sensing (Kurtz et al., 2013) and in situ drill holes (Kern et al., 2018) are spatially and temporally limited and therefore not sufficient for the investigation of long-term variability. Here we present an extended long-term summer SIT time series from 2001 to 2020 obtained within the framework of the 45 IceBird summer campaign. The IceBird campaign, led by the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, was designed to provide a long-term time series of large-scale SIT measurements in, but not limited to, the vicinity of the main exit gate of Arctic sea ice - Fram Strait. The extensive IceBird survey activity provides a unique basis for the investigation of large-scale SIT distributions. In IceBird, SIT is measured using an airborne EM (AEM), which makes use of the contrasting electromagnetic conductivities between sea ice and sea water (Haas et al., 2008). Since the area covered 50 during IceBird (Fig. 1 a)) includes a wide range of different ice types from various sources, a careful analysis is required for the investigation of interannual SIT variability. 2 https://doi.org/10.5194/tc-2020-305 Preprint. Discussion started: 22 October 2020 c Author(s) 2020. CC BY 4.0 License. Figure 1. a) Map showing all EM-based summer (July/August/September) SIT measurements obtained between 2001 and 2020, as well as July/August mean sea ice concentration (OSI-450 and OSI-430-b) for the period from 2000 to 2019 (Lavergne et al., 2019). Enclosed area (red, 80.5-86◦N and 30◦W-20◦E) indicates the selected area of interest (AOI, see Table 1 for an overview of the corresponding expeditions and basic SIT statistics for the selected AOI). The red line (86 - 90◦N, 50◦E) shows the transect of Russian sea ice observations. b) Summer (July/August) mean (red) and modal (blue) SIT based on EM measurements conducted in the AOI (circles). Diamond shows modal EM SIT measured on the MOSAiC floe in July 2020 and filled circles indicate mean and modal EM SIT values obtained during the IceBird MOSAiC campaign in September 2020. c) shows the fractional occurrence of first-year (white), second-year (grey) and multi-year ice (black, ice older than two years) for the individual years. The age classification is based on ICETrack calculations of the number of days the ice particles travelled along their trajectories. For the current study we focus on the SIT measurements from a selected area of interest (AOI, enclosed area in Fig. 1 a)) just north of Fram Strait. Sea ice reaching Fram Strait originates from multiple regions of the Arctic, which means long-term observations of SIT in its vicinity provide insight into integrated Arctic-wide thermodynamic and dynamic changes in the 55 sea ice cover (Hansen et al., 2013). While previous studies recorded substantial thinning and across Fram Strait (79◦N) SIT gradients during the first decade of the 21st century (Hansen et al., 2013; Renner et al., 2014), we focus on the evolution of summer (July/August) SIT further upstream of the Transpolar Drift. With the AEM being towed by a fixed-wing aircraft longer transects and ultimately a greater areal distribution of the measurements are achieved as compared to other in situ observations. The objectives of this study are to extend the summer SIT time series (from 2012 to 2020), first published by Krumpen et al. 60 (2016), at the end of the Transpolar Drift and investigate the interannual variability in SIT in the selected AOI close to the export gate of Arctic sea ice. We will use the Lagrangian sea ice tracking tool, ICETrack (Krumpen, 2018) to determine the source regions and drift trajectories of the sea ice sampled in the AOI. In order to provide insight into the driving mechanisms of the observed SIT variability a thermodynamic model is applied along the determined sea ice trajectories to reconstruct the AOI-sampled SIT. In addition we will compare the SIT changes in the AOI to long-term observations gathered during regular 65 Russian cruises from Franz Josef Land to the North Pole.
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